M. Marsh
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 2
- DNA Repair Mechanisms 2
- Receptor Mechanisms and Signaling 1
- Chemical Synthesis and Analysis 1
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- Enzyme Structure and Function 4
- Co-authors
- Andrea Enrico Prota (1 shared paper)Karl‐Heinz Altmann (1 shared paper)José Fernando Díaz (1 shared paper)Peter T. Northcote (1 shared paper)May Marsh (1 shared paper)Katja Bargsten (1 shared paper)Michel Olivier Steinmetz (1 shared paper)John Holmes Miller (1 shared paper)
- Journals
- Nature Structural & Molecular Biology (1 paper)Cell chemical biology (1 paper)ChemBioChem (1 paper)Acta Crystallographica Section D Structural Biology (1 paper)FEBS Open Bio (1 paper)
- Partner nations
- SwitzerlandUnited KingdomNew Zealand
In The Last Decade
M. Marsh
10 papers receiving 425 citations
Peers
Comparison fields: 5 of 36
- Cell Biology 195
- Computational Theory and Mathematics 99
- Oncology 80
- Biotechnology 19
- Organic Chemistry 82
Countries citing papers authored by M. Marsh
This map shows the geographic impact of M. Marsh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Marsh more than expected).
Fields of papers citing papers by M. Marsh
This network shows the impact of papers produced by M. Marsh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Marsh. The network helps show where M. Marsh may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Marsh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 282 | |
| 2 | 2013 | 106 | |
| 3 | 2014 | 69 | |
| 4 | 2021 | 42 | |
| 5 | 2016 | 14 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 8 | |
| 8 | 2016 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 1 |
About M. Marsh
M. Marsh is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Cell Biology and Spectroscopy, having authored 10 papers that have together received 540 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), DNA Repair Mechanisms (2 papers), Receptor Mechanisms and Signaling (1 paper), Microtubule and mitosis dynamics (1 paper), Chemical Synthesis and Analysis (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Cell Biology (195 citations), Computational Theory and Mathematics (99 citations), Oncology (80 citations), Biotechnology (19 citations) and Organic Chemistry (82 citations). M. Marsh has collaborated with scholars based in Switzerland, United Kingdom and New Zealand. Frequent co-authors include Andrea Enrico Prota, Karl‐Heinz Altmann, José Fernando Díaz, Peter T. Northcote, May Marsh, Katja Bargsten, Michel Olivier Steinmetz, John Holmes Miller, Peter T. Northcote and Tom L. Blundell. Their work appears in journals such as Nature Structural & Molecular Biology, Cell chemical biology, ChemBioChem, Acta Crystallographica Section D Structural Biology and FEBS Open Bio.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.